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230704 ||| eng |
| 020 |
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|a 9783031295638
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| 100 |
1 |
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|a Hinze, Michael
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| 245 |
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|a Model Order Reduction and Applications
|h Elektronische Ressource
|b Cetraro, Italy 2021
|c by Michael Hinze, J. Nathan Kutz, Olga Mula, Karsten Urban ; edited by Maurizio Falcone, Gianluigi Rozza
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| 250 |
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|a 1st ed. 2023
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| 260 |
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|a Cham
|b Springer Nature Switzerland
|c 2023, 2023
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| 300 |
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|a XIV, 230 p. 57 illus., 47 illus. in color
|b online resource
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| 653 |
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|a Numerical Analysis
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| 653 |
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|a Computational Mathematics and Numerical Analysis
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| 653 |
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|a Mathematics / Data processing
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| 653 |
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|a Mathematical Modeling and Industrial Mathematics
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| 653 |
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|a Numerical analysis
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| 653 |
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|a Differential Equations
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| 653 |
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|a Differential equations
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| 653 |
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|a Mathematical models
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| 700 |
1 |
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|a Kutz, J. Nathan
|e [author]
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| 700 |
1 |
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|a Mula, Olga
|e [author]
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| 700 |
1 |
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|a Urban, Karsten
|e [author]
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| 041 |
0 |
7 |
|a eng
|2 ISO 639-2
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| 989 |
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|b Springer
|a Springer eBooks 2005-
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| 490 |
0 |
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|a C.I.M.E. Foundation Subseries
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| 028 |
5 |
0 |
|a 10.1007/978-3-031-29563-8
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| 856 |
4 |
0 |
|u https://doi.org/10.1007/978-3-031-29563-8?nosfx=y
|x Verlag
|3 Volltext
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| 082 |
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|a 518
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| 520 |
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|a This book addresses the state of the art of reduced order methods for modelling and computational reduction of complex parametrised systems, governed by ordinary and/or partial differential equations, with a special emphasis on real time computing techniques and applications in various fields. Consisting of four contributions presented at the CIME summer school, the book presents several points of view and techniques to solve demanding problems of increasing complexity. The focus is on theoretical investigation and applicative algorithm development for reduction in the complexity – the dimension, the degrees of freedom, the data – arising in these models. The book is addressed to graduate students, young researchers and people interested in the field. It is a good companion for graduate/doctoral classes
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